PCA Based Face Recognition System Using ORL Database

version 1.15 (227 KB) by Shujaat Khan
This Package implements 'Eigenface' PCA based face recognition technique.


Updated 21 Oct 2021

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This package implements a well-known PCA-based face recognition method, which is called 'Eigenface'.
The program is easy to use. Furthermore, a sample Project file demo_PCA.m' is added that demonstrate how to use, ORL training and test database is also included to show Performance comparison for execution time and Recognition percentage, on different size of testing and training dataset by picking images randomly.
Additional file LOOCV.m for LOOCV (Leave One Out Cross Validation) Test.
Additional file Comparision.m for Comparision of PCA with mean,mode and median modifications.
Additional file PRR.m is added in the Sub Functions for calculating Precision and Recall of individual class.
for better understanding of PCA and the Tests involved you can use the tutorials given : http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf
ORL Dataset Description and source
The ORL Database of Faces contains 400 images from 40 distinct subjects. The size of each image is 92x112 pixels, with 256 grey levels per pixel.Source: https://cam-orl.co.uk/facedatabase.html

Cite As

Shujaat Khan (2022). PCA Based Face Recognition System Using ORL Database (https://www.mathworks.com/matlabcentral/fileexchange/43610-pca-based-face-recognition-system-using-orl-database), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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